Pith Number
pith:I2HOECXL
pith:2024:I2HOECXL6LLPTTTQQ735XYSAZM
not attested
not anchored
not stored
refs pending
Implicit Delta Learning of High Fidelity Neural Network Potentials
arxiv:2412.06064 v1 · 2024-12-08 · physics.chem-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I2HOECXL6LLPTTTQQ735XYSAZM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T09:46:14.134482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
468ee20aebf2d6f9ce7087f7dbe240cb22e2b2a93357224321ae2caa926dbad2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I2HOECXL6LLPTTTQQ735XYSAZM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 468ee20aebf2d6f9ce7087f7dbe240cb22e2b2a93357224321ae2caa926dbad2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "734888d5f58e77c84e37ade437333fc316a74ac7a82835c864fe5d3284b24d9f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2024-12-08T20:35:45Z",
"title_canon_sha256": "d5dbcd5968a2d73ecb3fd8d877e15f07b8d9945361fc389495654c5fb7e3d9ff"
},
"schema_version": "1.0",
"source": {
"id": "2412.06064",
"kind": "arxiv",
"version": 1
}
}